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Field-based remote sensing models predict radiation use efficiency in wheat.
Robles-Zazueta, Carlos A; Molero, Gemma; Pinto, Francisco; Foulkes, M John; Reynolds, Matthew P; Murchie, Erik H.
  • Robles-Zazueta CA; Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD,UK.
  • Molero G; International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP.
  • Pinto F; International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP.
  • Foulkes MJ; KWS Momont Recherche, 7 rue de Martinval, 59246 Mons-en-Pevele,France.
  • Reynolds MP; International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP.
  • Murchie EH; Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD,UK.
J Exp Bot ; 72(10): 3756-3773, 2021 05 04.
Article en En | MEDLINE | ID: mdl-33713415
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Triticum / Tecnología de Sensores Remotos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Triticum / Tecnología de Sensores Remotos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article